An advanced fingerprint matching using minutiae-based indirect local features

2017 ◽  
Vol 77 (15) ◽  
pp. 19931-19950 ◽  
Author(s):  
Tauheed Ahmed ◽  
Monalisa Sarma
Author(s):  
Suresha .M ◽  
. Sandeep

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.


2018 ◽  
Author(s):  
William A. Shirley ◽  
Brian P. Kelley ◽  
Yohann Potier ◽  
John H. Koschwanez ◽  
Robert Bruccoleri ◽  
...  

This pre-print explores ensemble modeling of natural product targets to match chemical structures to precursors found in large open-source gene cluster repository antiSMASH. Commentary on method, effectiveness, and limitations are enclosed. All structures are public domain molecules and have been reviewed for release.


2016 ◽  
Author(s):  
Marlon Lucas Gomes Salmento ◽  
Fernando Miranda Vieira Xavier ◽  
Bernardo Sotto-Maior Peralva ◽  
Augusto Santiago Cerqueira

2016 ◽  
Author(s):  
Bernardo Sotto-Maior Peralva ◽  
Fernando Miranda Vieira Xavier ◽  
Augusto Santiago Cerqueira ◽  
David Sérgio Adães Gouvea ◽  
Marcos Fidelis Costa Campos

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